Venous hemangioma is a vascular tumor that has been reported by such diverse names as; "cirsoid aneurysm", "arteriovenous hemangioma", "acral arteriovenous tumor" according to the author's opinions of its origin and histopathologic classification. It is benign and rarely biopsied, and it is also rarely reported in dermatology literature. We present two cases of venous hemangioma. The first case was a 64-year-old man who was presented with an elliptical dark-red plaque with overlying several grouped papules on the left periorbital area which had been present for 7 years. The second case was a 56-year-old man who was presented with a single red papule on the right postauricular area which had been present for 4 months. Histopathologically, there were a well-circumscribed proliferation of thick-walled muscle-containing blood vessels in the dermis. Intermingled with the thick-walled blood vessels, there were also thin-walled dilated blood vessels. In both cases, the thick-walled blood vessels resembled arteries, but they lacked elastic fibers on the Verhoeff van Gieson stain.
Arteries ; Blood Vessels ; Classification ; Dermatology ; Dermis ; Elastic Tissue ; Hemangioma* ; Humans ; Middle Aged

BACKGROUNDS/OBJECTOVES: Family has an impact on dietary intake of children as a proximal food environment and family structures are changing and becoming more diverse. This study was performed to identify the association between family structure and food group intake of children aged 3-18 years in Korea. SUBJECTS/METHODS: A total of 3,217 children with complete data on variables for household information, dietary intake and sampling weights were obtained from 2010-2011 Korea National Health and Nutrition Examination Survey. Children's family structure was classified into 3 groups (Living with both parents, Living with one parent and Living without parents). To evaluate children's food group intake, scores of individual food groups ('Grains', 'Meat, Fish, Eggs and Beans', 'Vegetables', 'Fruits' and 'Milk and Dairy products') was calculated from percent adherence to the recommended servings of the Korean Food Guidance System (KFGS). 'Food group mean score' was obtained by calculating the average of five food group scores. RESULTS: After adjusting for age, sex, number of family members, and household income, children living with both parents had higher scores in 'Fruits' (P < 0.01), 'Milk and Dairy products' (P < 0.05), and mean score of individual food group score (P < 0.001) compared to children living with one parent. Individual food group scores and mean scores of individual food group scores were associated with different socio-demographic factors in study children. Family structure was associated with 'Fruits,' 'Milk and Dairy products' score and mean scores of food group scores. CONCLUSIONS: These results suggested that different approach might be required to solve nutrition problem in children depending on their family structure and other socio-demographic factors.
Child* ; Eggs ; Family Characteristics ; Humans ; Korea ; Nutrition Surveys ; Ovum ; Parents ; Weights and Measures

No abstract available.
Blood Platelets* ; Gestational Age* ; Humans ; Infant, Newborn* ; Mean Platelet Volume* ; Platelet Count* ; Reference Values*

No abstract available.
Blood Platelets* ; Gestational Age* ; Humans ; Infant, Newborn* ; Mean Platelet Volume* ; Platelet Count* ; Reference Values*

BACKGROUND/OBJECTIVES: We examined dietary fat intake and the major food sources by young children in Korea. SUBJECTS/METHODS: A total of 1,041 children aged 1–5 years were identified from the 2013–2015 Korea National Health and Nutrition Examination Survey. Data on total fat and fatty acid intake were obtained by a single 24-h dietary recall. Food sources were identified based on the amounts of total fat and fatty acids consumption according to each food. Fat and fatty acid intakes and their food sources were presented by age group (1–2-y, n = 401; 3–5-y, n = 640). Fat and fatty acid intakes were also evaluated according to socioeconomic characteristics. RESULTS: The mean intake of fat was 27.1 ± 0.8 g in the 1-2-y group and 35.5 ± 0.7 g in the 3-5-y group, and about 23% of the total energy was obtained from fat in both age groups. The mean intake of saturated fatty acids (SFA) was 10.5 ± 0.3 g in the 1-2-y group and 12.7 ± 0.3 g in the 3-5-y group, with the 1-2-y group obtaining more energy from SFA than the 3-5-y group (9.2% vs. 8.3%). The mean intake of polyunsaturated fatty acids (PUFA) was 6.3 ± 0.1 g in the total subjects, with 0.8 ± 0.03 g of n-3 fatty acids and 5.5 ± 0.1 g of n-6 fatty acids being consumed. Milk, pork, and eggs were major food sources of total fat, SFA, and monounsaturated fatty acids, and soybean oil was the main contributor to PUFA in both age groups. In the 1-2-y group, children in rural areas had significantly higher intake of PUFA and n-3 fatty acids than did those in urban areas. CONCLUSIONS: Our findings provide current information on dietary fat intake among young Korean children and could be used to establish dietary strategies for improvement of health status.
Child* ; Cross-Sectional Studies* ; Dietary Fats ; Eggs ; Fatty Acids* ; Fatty Acids, Monounsaturated ; Fatty Acids, Omega-3 ; Fatty Acids, Omega-6 ; Fatty Acids, Unsaturated ; Humans ; Korea* ; Milk ; Nutrition Surveys* ; Ovum ; Red Meat ; Soybean Oil

Rapid diagnostic tests (RDTs) for malaria using antibodies against pan-Plasmodium antigen lactate dehydrogenase (pLDH) are commonly used for malaria diagnosis. The level of malaria parasitemia determined by peripheral blood smears (PBS) correlates with the pLDH concentration in most cases. We report a case of malaria recurrence associated with false-negative RDT results. A 22-year-old male patient was admitted to the Armed Forces Capital Hospital with fever and chills, and was diagnosed with malaria infection. Four days after antimalarial treatment, these symptoms recurred. After admitting to our hospital, doxycycline was administered for 4 days. Even after administration of doxycycline, the malaria parasites in blood smears remained positive, but RDT showed negative results. Therefore, for patients receiving doxycycline, serial blood smear testing should be performed to exclude false-negative malaria RDT results.
Antibodies ; Arm ; Chills ; Diagnosis ; Diagnostic Tests, Routine ; Doxycycline ; Fever ; Humans ; L-Lactate Dehydrogenase ; Malaria ; Male ; Parasitemia ; Parasites ; Recurrence ; Young Adult

Parkinson's disease (PD) is characterized by selective and progressive degeneration of dopamine (DA)-producing neurons in the substantia nigra pars compacta (SNpc) and by abnormal aggregation of alpha-synuclein. Previous studies have suggested that DA can interact with alpha-synuclein, thus modulating the aggregation process of this protein; this interaction may account for the selective vulnerability of DA neurons in patients with PD. However, the relationship between DA and alpha-synuclein, and the role in progressive degeneration of DA neurons remains elusive. We have shown that in the presence of DA, recombinant human alpha-synuclein produces non-fibrillar, SDS-resistant oligomers, while beta-sheet-rich fibril formation is inhibited. Pharmacologic elevation of the cytoplasmic DA level increased the formation of SDS-resistant oligomers in DA-producing neuronal cells. DA promoted alpha-synuclein oligomerization in intracellular vesicles, but not in the cytosol. Furthermore, elevation of DA levels increased secretion of alpha-synuclein oligomers to the extracellular space, but the secretion of monomers was not changed. DA-induced secretion of alpha-synuclein oligomers may contribute to the progressive loss of the dopaminergic neuronal population and the pronounced neuroinflammation observed in the SNpc in patients with PD.
Blotting, Western ; Cell Line, Tumor ; Dopamine/*metabolism ; Humans ; Levodopa/pharmacology ; Neurons/*metabolism/pathology/*secretion ; Parkinson Disease/metabolism/pathology ; Substantia Nigra/metabolism/pathology ; alpha-Synuclein/*biosynthesis/*secretion

Objective: We aimed to determine whether individuals at immediate risk of suicide could be identified using data from a commercially available wearable device. Methods: Thirty-nine participants experiencing acute depressive episodes and 20 age- and sex-matched healthy controls wore a commercially available wearable device (Galaxy Watch Active2) for two months. We collected data on activities, sleep, and physiological metrics like heart rate and heart rate variability using the wearable device. Participants rated their mood spontaneously twice daily on a Likert scale displayed on the device. Mood ratings by clinicians were performed at weeks 0, 2, 4, and 8. The suicide risk was assessed using the Hamilton Depression Rating Scale’s suicide item score (HAMD-3). We developed two predictive models using machine learning: a single-level model that processed all data simultaneously to identify those at immediate suicide risk (HAMD-3 scores ≥1) and a multilevel model. We compared the predictions of imminent suicide risk from both models. Results: Both the single-step and multi-step models effectively predicted imminent suicide risk. The multi-step model outperformed the single-step model in predicting imminent suicide risk with area under the curve scores of 0.89 compared to 0.88. In the multi-step model, the HAMD total score and heart rate variability were most significant, whereas in the single-step model, the HAMD total score and diagnosis were key predictors. Conclusion Wearable devices are a promising tool for identifying individuals at immediate risk of suicide. Future research with more refined temporal resolution is recommended.

Objective: We aimed to determine whether individuals at immediate risk of suicide could be identified using data from a commercially available wearable device. Methods: Thirty-nine participants experiencing acute depressive episodes and 20 age- and sex-matched healthy controls wore a commercially available wearable device (Galaxy Watch Active2) for two months. We collected data on activities, sleep, and physiological metrics like heart rate and heart rate variability using the wearable device. Participants rated their mood spontaneously twice daily on a Likert scale displayed on the device. Mood ratings by clinicians were performed at weeks 0, 2, 4, and 8. The suicide risk was assessed using the Hamilton Depression Rating Scale’s suicide item score (HAMD-3). We developed two predictive models using machine learning: a single-level model that processed all data simultaneously to identify those at immediate suicide risk (HAMD-3 scores ≥1) and a multilevel model. We compared the predictions of imminent suicide risk from both models. Results: Both the single-step and multi-step models effectively predicted imminent suicide risk. The multi-step model outperformed the single-step model in predicting imminent suicide risk with area under the curve scores of 0.89 compared to 0.88. In the multi-step model, the HAMD total score and heart rate variability were most significant, whereas in the single-step model, the HAMD total score and diagnosis were key predictors. Conclusion Wearable devices are a promising tool for identifying individuals at immediate risk of suicide. Future research with more refined temporal resolution is recommended.

Objective: We aimed to determine whether individuals at immediate risk of suicide could be identified using data from a commercially available wearable device. Methods: Thirty-nine participants experiencing acute depressive episodes and 20 age- and sex-matched healthy controls wore a commercially available wearable device (Galaxy Watch Active2) for two months. We collected data on activities, sleep, and physiological metrics like heart rate and heart rate variability using the wearable device. Participants rated their mood spontaneously twice daily on a Likert scale displayed on the device. Mood ratings by clinicians were performed at weeks 0, 2, 4, and 8. The suicide risk was assessed using the Hamilton Depression Rating Scale’s suicide item score (HAMD-3). We developed two predictive models using machine learning: a single-level model that processed all data simultaneously to identify those at immediate suicide risk (HAMD-3 scores ≥1) and a multilevel model. We compared the predictions of imminent suicide risk from both models. Results: Both the single-step and multi-step models effectively predicted imminent suicide risk. The multi-step model outperformed the single-step model in predicting imminent suicide risk with area under the curve scores of 0.89 compared to 0.88. In the multi-step model, the HAMD total score and heart rate variability were most significant, whereas in the single-step model, the HAMD total score and diagnosis were key predictors. Conclusion Wearable devices are a promising tool for identifying individuals at immediate risk of suicide. Future research with more refined temporal resolution is recommended.